Artificial Intelligence and Machine Translation: 2020 and Beyond
Dion Wiggins & Philipp Koehn
Thursday, 10 September, 2020
Webinar Start Time: 11:00 EDT (17:00 CEST)
2019 brought many advances in language-related Artificial Intelligence (AI) and Machine Translation (MT). MT and more broadly natural language processing have become essential parts of the global technological leadership race in AI. Research in this area has skyrocketed, and many ground-breaking achievements continue to be made. This fast-evolving technology field is changing the way people work, play, and understand data.
Join Omniscien's Chief Scientist Professor Philipp Koehn, a leading researcher in the field of AI and MT, along with Dion Wiggins, Omniscien’s CTO, for an hour of information sharing and insights on what the rest of 2020 and beyond will likely bring. We will look at trends in Neural Machine Translation, Natural Language Processing, Artificial Intelligence, Machine Learning, Data Mining, Text Analytics, and more. We will also talk to Philipp about his new book "Neural Machine Translation" which was released in June 2020.
Dion Wiggins, Omniscien Technologies' CTO and Co-Founder, is a highly experienced ICT industry visionary, entrepreneur, analyst and consultant. He has comprehensive knowledge in the fields of software development, architecture and management, as well as an in-depth understanding of Asian ICT markets. He is an accomplished speaker and has a high media profile for his perceptive analysis of ICT in Asia Pacific. Previously Dion was Vice President and Research Director for Gartner based in Hong Kong, where his research reports on ICT in China had a crucial impact on how the world views this market. Dion is also a well-known pioneer of the Asian Internet Industry, being the founder of one of Asia's first ever ISPs (Asia Online in Hong Kong). In his role as consultant, Dion advised literally hundreds of enterprises on their ICT strategy.
Philipp Koehn is Chief Scientist at Omniscien Technologies and Professor of Computer Science at Johns Hopkins University; he also holds the Chair for Machine Translation in the School of Informatics at the University of Edinburgh. Koehn is a leader in the field of statistical MT research with over 100 publications. He is the author of the textbook in the field. Under his leadership the open source Moses system has become the de-facto standard toolkit for MT in research and commercial deployment. Koehn led international research projects such as Euromatrix and CASMACAT; his research has been funded by the European Union, DARPA, Google, Facebook, Amazon, Bloomberg, and several other funding agencies. Koehn received his PhD in 2003 from the University of Southern California and was a postdoctoral research associate at MIT. He was a finalist for the European Patent Office’s European Inventor Award in 2013 and received the Award of Honor from the International Association of Machine Translation in 2015. At Omniscien Koehn refined MT technology for use in real-world deployments and helped develop methods for data acquisition and refinement. Koehn continues to drive innovation and technological development at Omniscien.
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